Position product
Builds a differentiation story from cited evidence — for a product, feature, company, portfolio, or person. Use when asked 'how do we position this', 'what's the differentiator', 'what's our wedge', 'why us over X', 'why would they hire me', 'write the one-liner / elevator pitch / thesis', or when a landing page, deck, resume, or portfolio needs its core claim. Every external claim gets cited or flagged under-evidenced per craft-critique; positioning built on adjectives instead of proof is rejected.From its SKILL.md
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SKILL.md
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Position Product — Differentiation From Evidence
Produce ONE narrow, true, demonstrable claim about why this thing (or this person) over the alternatives — plus the proof plan that makes the claim land inside the audience's real attention window. Adjectives are not positioning. Evidence is.
When to use / when NOT to use
Use for: a product's core claim, a feature's "why this matters," a company one-liner, a portfolio thesis, a candidate's "why you" answer. The method is identical for products and people — a person's positioning is a product positioning where the artifact is their shipped work.
Do NOT use for:
- Competitor teardown / feature matrix →
run-competitive-analysis(its output is step 3's input here) - Narrating one piece of work end-to-end →
tell-case-study-story(it inherits the thesis from here) - Auditing whether EXISTING positioning claims hold up →
craft-critique(this skill creates; that one judges) - Designing the surface where positioning renders (landing page, onboarding, pricing) →
design-growth-surfaces - Final wording and register →
writing-voice
Before you start (both mandatory)
- Load
craft-critique. Every claim about markets, competitors, buyers, recruiters, or trends in this method is handled by its evidence protocol (cite / get / flag) and screened against its banned constructions. Do not restate the protocol — apply it. - Load
design-tasteif the output will be designed. Its governing phrase — "quiet surface, loud proof" — is also the positioning law: restraint stays on the skin; the substance (real metrics, live artifacts, working systems) carries the persuasion.
Evidence tags (stamp one on every external claim)
| Tag | Meaning | Allowed use in positioning |
|---|---|---|
[V-high] | Survived adversarial verification, multiple independent sources | Load-bearing plank |
[V-med] | Pattern verified; headline numbers vendor/marketing-grade | Supporting plank; never the thesis alone |
[V-low] | Single small study / weak method | Design input only; flag if quoted |
[GAP] | No claim survived checking | Never marketed; becomes a research task |
[REFUTED] | Specifically disproven | Kill list — never appears, even paraphrased |
[Assumption] | Chosen belief, revisable | Stated as an assumption, with what would change it |
The method
1. Fix the audience and the moment
- Name the decider — recruiter, buyer, exec, first-time user. Not "users" in general.
- Establish the attention window with evidence, not hope. Worked case: a product designer positions their portfolio for a ~55-second recruiter first-pass that rarely includes an off-site click. Rule: position for the scan; assume the off-site click never happens.
- Name the real alternative they compare you against (incumbent, other candidates, doing nothing) and the default belief you must contrast — positioning is a correction to something they already think.
- Different audiences get different moments, not different truths. One fact base; per-audience emphasis.
2. Inventory only verified truth
List every fact the story might stand on. Grade each with a tag + source. Then apply three hard filters:
- Numbers without a named measurement source are presumed fabricated — cut, don't soften. Real case: plausible-sounding enterprise metrics ("25% satisfaction lift") in a candidate's old portfolio material were fabricated → cut entirely, not rounded down.
- Quotes and credentials must verify verbatim. Real case: a widely-repeated expert quote returned zero verbatim matches → the positioning re-anchored on the platform's official design guide instead. If the source can't be checked, swap the source, don't defend it.
- NDA'd / unshipped work keeps names + scale, drops outcomes. The "NDA-honest" pattern: client names and scope numbers ("7 clusters, 34 plants") stay; outcome metrics and "shipped to production" go unless verifiable.
Anything that fails a filter becomes either a GET (research it before continuing) or is out of the inventory. Positioning built on a fact you'd have to defend is already lost.
3. Map the field — supply gap × demand ask
Take run-competitive-analysis output, or run a scoped scan: what does every alternative claim, and what do they actually show?
- The highest-leverage seam is a convergence: something deciders explicitly ask for (demand-ask) that nobody in the studied field supplies (supply-gap). Worked case: hiring managers ask for outcomes in line one AND the studied competitor pool was weakest exactly there → "metric in line one" became the single highest-leverage move.
- Count the field. "0 of 61–73 studied portfolios host a live on-page AI demo" is a hard-evidenced scarcity claim. "Everyone is weak at this" is an impression — tag it honestly.
4. Find the seam — the candidate-claims table
Build this table before writing a word of copy:
| Candidate claim | Evidence (tag + source) | Who else can truthfully say it | Copyable? |
|---|
Copyability has two grades:
- Structural (best): the alternative's business model or incentives prevent copying. Worked case: an incumbent shopping assistant that blends sponsored results into conversation cannot become visibly fit-first without giving up a measured revenue lever — so "visibly-reasoned, fit-first" owns space the incumbent structurally can't enter.
- Scarcity-based (legitimate, decaying): nobody does it yet. Valid wedge; handle in step 6.
Pick the claim that is narrow (one seam, not general excellence), true (survives step 2), demonstrable (an artifact or number the audience can touch), and hardest to copy.
5. Write the thesis — one sentence, contrast form
The reliable shape: "Most X [the default the audience already believes]. This one [the difference] — and here it is running."
- Real person example: "Most product designers hand the AI off to engineers. I design it and I ship it in code — she's live on this page."
- Real product example: the shopkeeper who tells you the downside — an assistant that reasons from your stated needs, pins the runner-up, and refuses what it shouldn't sell.
Rules: no adjective does load-bearing work; the difference must be checkable within the moment from step 1; never name or disparage a competitor in the thesis — contrast the category default, generically and honestly.
6. Separate the scarcity fact from the winning bet (mandatory)
Every positioning output contains this split, explicitly:
- Hard-evidenced: the scarcity count, the measured metric, the structural incentive.
- Opinion/bet: that this difference will win. Almost always trend-supported opinion, not survey data. Say so.
- Decay: scarcity wedges lose value as they're copied → the recommendation is usually "ship while the field is empty," stated as a timing bet. Structural wedges hold while the incumbent's incentive holds — name the incentive so the expiry condition is visible.
Worked case, verbatim pattern: "the scarcity is hard-evidenced (the 0-of-61–73 scan); the 'this will win' is trend-supported opinion. Still the right bet — but a bet on timing, and its value decays as others copy it." That honesty flag IS the deliverable, not a hedge on it.
7. Plan the proof surface — quiet surface, loud proof
- Proof in line one. The metric, scale anchor, or live artifact leads; process and backstory follow. Never make the audience dig for the reason to believe.
- Demonstration beats description. A live, operable artifact collapses "prove the claim" into the scan itself; a link off-site is proof that mostly never gets clicked. If the claim is "we build X," the strongest surface is X, running, on the page.
- The no-title rule: minimal proof is a privilege of the already-credentialed — a frontier logo vouches for its people; if the audience doesn't already trust you, over-prove the substance while keeping the surface quiet (see
design-tastefor the surface register). - Where no metric exists (NDA, early product): use the scale anchor and make the absence visible as discipline — an honest gap reads as integrity; a filled gap reads as fabrication the moment anyone checks.
- Never market a
[GAP]/[REFUTED]claim, even the emotionally strongest one. Real case: an elder-companion product never markets loneliness outcomes — every study behind them was uncontrolled — so it's marketed as presence and connection, never clinical benefit.
8. Write the kill list
Enumerate what must never be claimed, with the reason and (where relevant) where the topic IS handled instead:
[REFUTED]claims and fabricated/unsourced numbers- Unverifiable third-party quotes or credentials
- Capabilities not yet shipped (re-add when shipped, not before)
- Topics deliberately kept off the face (e.g., visa/sponsorship handled in the application form, not the portfolio)
- Viral competitor stats with no method behind them — foil only, never a cited plank; find the better-grounded alternative and cite that instead
Positioning is as much refusal as assertion. Write the refusals down so future copy can't drift.
The differentiator test (all seven, or it's not the thesis)
- Narrow — claims one seam, not general excellence
- True — every load-bearing fact tagged
[V-med]or better, with source - Demonstrable — an artifact or number the audience can verify inside the attention window
- Scarce, evidenced — "0 of N studied" beats "few competitors"
- Hard to copy — structural if possible; if scarcity-only, decay stated
- Generic-honest contrast — no competitor named and disparaged
- Survives
craft-critique's banned-constructions scan — zero "uniquely positioned" energy
Worked example — positioning a person (a product designer's portfolio thesis)
- Audience & moment: recruiter/hiring manager · ~55s reviewer first-pass, rarely clicks off-site (the portfolio's working assumption) · compared against AI-role designers at frontier AI companies · default belief: "designers describe AI work; engineers build it."
- Truth inventory: shipped, live AI chatbot with real measured conversion metrics
[V-high — first-party analytics, sources named]· enterprise work under NDA — client names + scale kept, outcome metrics cut as unverifiable, "shipped to production" claim FALSE → cut · a graduate degree completing on a verified date · plausible-sounding old metrics found fabricated → deleted, not softened. - Field map: a competitive scan of 61–73 AI-role designer portfolios (incl. frontier-company designers): 0 host a live on-page AI demo — AI proof is always described or linked off-site
[hard-evidenced scarcity]. Converges with the demand-ask: reviewers want outcomes in line one. - Seam: "designs AND ships the AI" — narrow, true (live artifact), demonstrable within the scan (the demo runs on the page), and hard to copy quickly (requires actually building).
- Thesis: "Most product designers hand the AI off to engineers. I design it and I ship it in code — and you're standing in the proof of it."
- Scarcity vs bet: scarcity hard-evidenced (the 0-of-N scan); "a live demo wins the role" is trend-supported opinion; value decays as copied → ship while the field is empty, named as a timing bet.
- Proof plan: flagship case leads with the real measured metric in line one · NDA case leads with the scale anchor, no numbers, absence-as-discipline · the live operable demo is the wedge, on-page, so proof lands inside the 55 seconds.
- Kill list: fabricated enterprise metrics (cut) · "uniquely positioned" constructions (banned) · unshipped skills (off until shipped) · sponsorship off the portfolio face (handled in the application form) · nonexistent projects (never referenced).
Worked example — positioning a product (compressed)
| Step | Honest conversational-commerce assistant (Echo Show, first-time internet users) |
|---|---|
| Audience & moment | Low-literacy first-time buyers who trust peers, not institutions [V-high] — and the exec approving the product |
| Truth | Honest by architecture: zero invented prices by construction; medicine questions refused by construction (verifiable in the build, not a promise) |
| Field | Incumbent assistant blends sponsored results into conversation; ranking opaque to shopper and merchant [V-high]; personalization is a measured revenue lever pulling every incumbent sell-first [V-high] |
| Seam | Visibly-reasoned, fit-first recommendation — structural: the incumbent can't copy it without giving up the revenue lever. "The credibility no blended-ranking assistant can copy." |
| Thesis | The shopkeeper who tells you the downside: reasons from your stated needs, pins the runner-up, refuses what it shouldn't sell |
| Scarcity vs bet | Honesty-by-architecture is verifiable now; "trust converts this segment" rests on peer-influence data [V-med] + a bet — flagged |
| Kill list | No loneliness-outcome claims ([REFUTED] marketing — every study uncontrolled) · the viral "incumbent is 83% self-serving" stat = single vendor quote, no method → narrative foil only; cite the grounded 1,300-pick analysis instead |
Anti-patterns
| Don't | Why it fails | Do |
|---|---|---|
| "Uniquely positioned…" / "strong foundation…" | Banned per craft-critique — fits anyone | One narrow checkable claim |
| Adjective positioning ("seamless," "best-in-class") | Unfalsifiable = unpersuasive | Lead with the artifact or number |
| Filling an NDA/metric hole with a plausible number | Fabrication detected = everything else discounted | Scale anchor + visible absence as discipline |
| Resting the story on an unverified quote/credential | Collapses when checked | Verify verbatim or swap to the official citable source |
| Naming and trashing the competitor | Reads insecure; legal/aggro risk | Contrast the category default, generically |
| Leading with process/backstory | The scan ends before the proof arrives | Proof in line one |
| Treating "this will win" as evidenced because scarcity is | Conflates fact with bet | Split them; state the decay |
Marketing the [REFUTED]-but-moving claim | One checked claim poisons all claims | Kill list, enforced |
| One positioning blob for every audience | Nobody's moment is served | One fact base, per-audience emphasis (step 1) |
| Differentiation buried in a feature list | Ten claims = no claim | One seam, one sentence |
Output format
## Positioning: [product / person / feature]
**Audience & moment:** [decider · attention window (evidence) · compared against · default belief]
**Thesis:** [one contrast sentence — "Most X… This one… — and here it is running."]
**Claims table:**
| Candidate claim | Evidence (tag + source) | Who else can say it | Copyable? |
**Scarcity vs bet:** hard-evidenced: […] · opinion/bet: […] · decay/expiry condition: […]
**Proof plan:** [line-one proof per surface; live demonstration > description; absence-as-discipline where no metric exists]
**Kill list:** [claims that never appear + why + where the topic is handled instead]
**Under-evidenced flags:** [every `[GAP]`/`[Assumption]` + exactly what data would strengthen each]
Sources
- Method, evidence tags, kill-list discipline — Dinesh's own positioning practice; not a fork, not NN/g-grounded. The worked examples are grounded in real practice: the live-AI-demo wedge and the 0-of-61–73 portfolio scan (a product-designer portfolio strategy); the NDA-honest scale-anchor pattern (an enterprise-UX resume spine — client names + scale kept, outcomes and "shipped to production" cut); the honest-by-architecture conversational-commerce assistant with its foil-vs-cite split.
craft-critique— single source of truth for the evidence-discipline protocol (cite / get / flag) and the banned constructions; this skill applies both and never restates them. The[V-*]/[GAP]/[REFUTED]tags here are a positioning-specific grading layer on top of that verification, not a copy of it.design-taste— owner of "quiet surface, loud proof," reused here as the positioning law by reference.
Boundaries
craft-critiqueowns the evidence protocol and banned constructions — this skill applies them, never restates them.run-competitive-analysisowns the competitor teardown; its output feeds step 3.tell-case-study-storyowns narrating a single piece of work; it inherits this skill's thesis and proof plan.design-growth-surfacesowns the surfaces (landing, onboarding, pricing) where positioning renders.design-tasteowns the surface register, including "quiet surface, loud proof."writing-voiceowns the final wording of any outward copy.
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Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most product growth skills give in ~3.9k tokens
Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07
- Read product marketing context before asking questionsin 24 of 728, across 18 files
- Define the ideal customer profilein 21 of 728, across 3 files
- Document a rollback plan before deploymentin 21 of 728, across 12 files
- Analyze the codebase to understand the productin 19 of 728, across 1 file
- Ask clarifying questions about the value propositionin 19 of 728, across 1 file
- Search for companies matching the criteriain 19 of 728, across 1 file
- Look for signals of immediate needin 19 of 728, across 1 file
- Assign a fit score from one to tenin 19 of 728, across 1 file
- Identify the target decision-maker rolein 19 of 728, across 1 file
- Suggest a personalized contact strategyin 19 of 728, across 1 file
- Provide conversation starters for outreachin 19 of 728, across 1 file
- Format results in a scannable markdown templatein 19 of 728, across 1 file
Said here and by no other author read
- load craft-critique before writing positioning
- stamp an evidence tag on every external claim
- name a specific decider as the audience
- position for the scan assuming no clicks happen
- grade every fact with an evidence tag and source
- cut unsourced numbers instead of softening them
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.